About

I am a Fellow in The Brain and Computation Program at the Simons Institute for the Theory of Computing at UC Berkeley. Prior to that I was a postdoctoral fellow with Ila Fiete in the Center for Learning and Memory at The University of Texas at Austin, and before that a graduate student at Yale University, where I received my Ph.D. in Applied Mathematics.

My research is directed towards understanding how distributed neural systems are able to compute. To do this, I develop mathematical frameworks to understand parallel computation in neurons, build dynamical models of information processing in the brain, and analyze experimental data on the simultaneous activity of neural populations.